Business analytics refers to the ways in which enterprises such as businesses, non-profits, and
governments use data to gain insights and make better decisions. Business analytics is applied
in operations, marketing, finance, and strategic planning among other functions. Modern data
collection methods – arising in bioinformatics, mobile platforms, and previously unanalyzable
data like text and images – are leading an explosive growth in the volume of data available for
decision making. The ability to use data effectively to drive rapid, precise, and profitable
decisions has been a critical strategic advantage for companies as diverse as Walmart, Google,
Capital One, and Disney. Many startups are based on the application of AI & analytics to large
databases. With the increasing availability of broad and deep sources of information – so-called
“Big Data” – business analytics are becoming an even more critical capability for enterprises of
all types and all sizes.
AI is beginning to impact every dimension of business and society. In many industries, you will
need to be literate in AI to be a successful business leader. The Business Analytics sequence is
designed to prepare you to play an active role in shaping the future of AI and business. You will
develop a critical understanding of modern analytics methodology, studying its foundations,
potential applications, and – perhaps most importantly – limitations.
Division: Decision, Risk and Operations
Curriculum Pathway: Product Management, AI and Data Analytics
Prerequisite
Complete ANY of the following Courses
Summer 2026
B8103 - 001
Part of Term
MBA - Half Block Week - August 2 - 4 (SuMT)
Section Syllabus
No Syllabus
Section Notes
MBA Half Block Week: August 2 - 4
Format
Half Block Week
Spring 2026
B8103 - 001
Format
A Term
Day(s)
Date(s)
Start/End Time
Room
-
Tuesday 01/26/2026 - 03/06/2026 2:20PM - 5:35PM Kravis 620
B8103 - 002
Format
A Term
Day(s)
Date(s)
Start/End Time
Room
-
Wednesday 01/26/2026 - 03/06/2026 9:00AM - 12:15PM Kravis 620
B8103 - 003
Format
A Term
Day(s)
Date(s)
Start/End Time
Room
-
Wednesday 01/26/2026 - 03/06/2026 2:20PM - 5:35PM Geffen 620
Fall 2025
B8103 - 001
Format
A Term
Day(s)
Date(s)
Start/End Time
Room
-
Wednesday 09/02/2025 - 10/10/2025 2:20PM - 5:35PM Geffen 620
Summer 2025
B8103 - 001
Part of Term
MBA - Half Block Week 4 - July 28 - 30 | MTW
Section Syllabus
Download Syllabus
Section Notes
MBA Block Week: July 28 - 30
Format
Half Block Week
Spring 2025
B8103 - 001
Format
A Term
Day(s)
Date(s)
Start/End Time
Room
-
Monday 01/27/2025 - 03/07/2025 2:20PM - 5:35PM Geffen 520
B8103 - 002
Format
A Term
Day(s)
Date(s)
Start/End Time
Room
-
Tuesday 01/27/2025 - 03/07/2025 9:00AM - 12:15PM Kravis 640
B8103 - 003
Format
A Term
Day(s)
Date(s)
Start/End Time
Room
-
Tuesday 01/27/2025 - 03/07/2025 2:20PM - 5:35PM Kravis 620
Fall 2024
B8103 - 001
Format
A Term
Day(s)
Date(s)
Start/End Time
Room
-
Wednesday 09/03/2024 - 10/11/2024 2:20PM - 5:35PM Geffen 620
Spring 2024
B8103 - 001
Format
A Term
Day(s)
Date(s)
Start/End Time
Room
-
Monday 01/22/2024 - 03/01/2024 2:20PM - 5:35PM Geffen 520
B8103 - 002
Format
A Term
Day(s)
Date(s)
Start/End Time
Room
-
Tuesday 01/22/2024 - 03/01/2024 9:00AM - 12:15PM Geffen 390
B8103 - 003
Format
A Term
Day(s)
Date(s)
Start/End Time
Room
-
Tuesday 01/22/2024 - 03/01/2024 2:20PM - 5:35PM Geffen 420